Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 430874
Title Impact of vegetation variability on potential predictability and skill of EC-Earth simulations
Author(s) Weiss, M.; Hurk, B. van den; Haarsma, R.; Hazeleger, W.
Source Climate Dynamics 39 (2012)11. - ISSN 0930-7575 - p. 2733 - 2746.
Department(s) Meteorology and Air Quality
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) land-surface parameterization - leaf-area - soil-moisture - interannual variability - air-temperature - climate - model - sensitivity - precipitation - system
Abstract Climate models often use a simplified and static representation of vegetation characteristics to determine fluxes of energy, momentum and water vapour between surface and lower atmosphere. In order to analyse the impact of short term variability in vegetation phenology, we use remotely-sensed leaf area index and albedo products to examine the role of vegetation in the coupled land–atmosphere system. Perfect model experiments are carried out to determine the impact of realistic temporal variability of vegetation on potential predictability of evaporation and temperature, as well as model skill of EC-Earth simulations. The length of the simulation period is hereby limited by the availability of satellite products to 2000–2010. While a realistic representation of vegetation positively influences the simulation of evaporation and its potential predictability, a positive impact on 2 m temperature is of smaller magnitude, regionally confined and more pronounced in climatically extreme years.
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